Shabnam Tangri
- Immunology top 2%
- Molecular Biology
- Oncology top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Mitchell KronenbergRaj RaghupathyChristophe BenoıstSusan ChanJohn SidneyLaurent BrossayAlessandro SetteA. Raúl Castaño
- Topics
- Immunotherapy and Immune Responses (11 papers)T-cell and B-cell Immunology (9 papers)Immune Cell Function and Interaction (8 papers)
- Partner nations
- United StatesCanadaIndia
In The Last Decade
Shabnam Tangri
38 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 87
- Immunology 1.3k
- Molecular Biology 454
- Oncology 283
- Radiology, Nuclear Medicine and Imaging 200
- Public Health, Environmental and Occupational Health 171
Countries citing papers authored by Shabnam Tangri
This map shows the geographic impact of Shabnam Tangri's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shabnam Tangri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shabnam Tangri more than expected).
Fields of papers citing papers by Shabnam Tangri
This network shows the impact of papers produced by Shabnam Tangri. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shabnam Tangri. The network helps show where Shabnam Tangri may publish in the future.
Co-authorship network of co-authors of Shabnam Tangri
This figure shows the co-authorship network connecting the top 25 collaborators of Shabnam Tangri. A scholar is included among the top collaborators of Shabnam Tangri based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shabnam Tangri. Shabnam Tangri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 88 | |
| 4 | 19 | |
| 5 | 49 | |
| 6 | Phase 1 experience with BIIB021, an oral, synthetic, non-ansamycin Hsp90 inhibitor | 1 |
| 7 | 138 | |
| 8 | 86 | |
| 9 | 32 | |
| 10 | Epitope identification and vaccine design for cancer immunotherapy. | 19 |
| 11 | 127 | |
| 12 | 49 | |
| 13 | 136 | |
| 14 | 17 | |
| 15 | 10 | |
| 16 | 329 | |
| 17 | 22 | |
| 18 | 1 | |
| 19 | 117 | |
| 20 | Human immune response to recombinant interferon gamma and protein antigen LSR2. | 2 |
About Shabnam Tangri
Shabnam Tangri is a scholar working on Immunology, Genetics and Obstetrics and Gynecology, having authored 40 papers that have together received 1.8k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (11 papers), T-cell and B-cell Immunology (9 papers) and Immune Cell Function and Interaction (8 papers). The work is most often cited by research in Immunology (1.3k citations), Oncology (283 citations) and Obstetrics and Gynecology (80 citations). Shabnam Tangri has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Mitchell Kronenberg, Raj Raghupathy, Christophe Benoıst, Susan Chan, John Sidney, Laurent Brossay, Alessandro Sette, A. Raúl Castaño, Hilda Holcombe and Per A. Peterson. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.